Mode of Delivery: Online ‘Live’. Instructor-Led.
Course Fee is after *90% International Funding
About International Funding
- 90% International Funding is only available for selected region.
- 90% International Funding is a location-based funding supported by CASUGOL.
- Percentage of funding varies from country to country as part of our commitment to localize the fees to make our programs accessible to everyone.
- Participants from Malaysia may be eligible for HRDF Funding.
For more information on International Funding, contact us at +65 6100 1503 or Email: email@example.com
Corporate-Sponsored or Batch Registration contact us at +65 6100 1503 or Email: firstname.lastname@example.org
Select Your Preferred Batch Below:
Certification: Participants will receive a Certificate of Competency upon successfully completing the course and passing the examination
Who Should Attend: Professionals or Anyone interested in pursuing a career as a data scientist and use data to understand the world, uncover insights, and make better decisions
Acquire advanced knowledge on how to use Data Science with Python Programming to uncover business insights and trend.
Learn how to use algorithms and basic Artificial Intelligence / Machine Learning techniques to make predictions.
Participants are required to attempt an examination upon completion of course. This exam tests a candidate’s knowledge and skills related to Data Science and Python Programming based on the syllabus covered
For more information: Advanced Data Science Professional (ADSP) Course Outline
Full-Time, Part-Time, Evening, Weekend
23 to 27 Aug, 27 Sep to 1 Oct, 25 to 29 Oct, 22 to 26 Nov, 27 to 31 Dec, 10 Aug to 12 Oct (PT), 19 Oct to 21 Dec (PT), 18 Aug to 20 Oct (PM), 27 Oct to 29 Dec (PM), 21 Aug to 18 Sep (WK), 25 Sep to 23 Oct (WK), 30 Oct to 27 Nov (WK)
2:00pm to 6:00pm (Singapore Timezone), 9:30am to 5:30pm (Singapore Timezone), 8:30am to 12:30pm (Singapore Timezone), 6:00pm to 10:00pm (Singapore Timezone)
Daily, Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday
1, 10, 2, 3, 4, 5, 6, 7, 8, 9